Mays J W Inc (MAYS) Buildings and Improvements (2011 - 2026)
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Analysis
Mays J W Inc (MAYS) Buildings and Improvements (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 83.24 Mn |
| Jan 31, 2026 | 83.20 Mn |
| Oct 31, 2025 | 82.32 Mn |
| Jul 31, 2025 | 81.02 Mn |
| Apr 30, 2025 | 80.97 Mn |
| Jan 31, 2025 | 81.01 Mn |
| Oct 31, 2024 | 80.55 Mn |
| Jul 31, 2024 | 79.51 Mn |
| Apr 30, 2024 | 78.83 Mn |
| Jan 31, 2024 | 78.03 Mn |
| Oct 31, 2023 | 77.85 Mn |
| Jul 31, 2023 | 77.70 Mn |
| Apr 30, 2023 | 77.70 Mn |
| Jan 31, 2023 | 77.61 Mn |
| Oct 31, 2022 | 77.29 Mn |
| Jul 31, 2022 | 75.79 Mn |
| Apr 30, 2022 | 75.55 Mn |
| Jan 31, 2022 | 75.48 Mn |
| Oct 31, 2021 | 74.89 Mn |
| Jul 31, 2021 | 74.55 Mn |
API Access
Mays J W Inc Buildings and Improvements API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=buildings-and-improvements&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings-and-improvements", "ticker": "MAYS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings-and-improvements&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();